Impact of water vapor on stratospheric temperature after the 2022 Hunga Tonga eruption: direct radiative cooling versus indirect warming by facilitating large particle formation
IF 8.5 1区 地球科学Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Xi Chen, Jun Wang, Meng Zhou, Zhendong Lu, Lyatt Jaegle, Luke D. Oman, Ghassan Taha
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引用次数: 0
Abstract
The unprecedented water vapor amount (WV, 150–160 Tg) injected by the 2022 eruption of Hunga Tonga–Hunga Haʻapai not only directly cooled the stratosphere, but also facilitated the formation and growth of sulfate particles, indirectly heating it. Here, we developed analytical models constrained by satellite observations to quantify these contrasting roles of WV in stratospheric temperature perturbations. Our analysis revealed that condensation and nucleation processes facilitated by abundant WV accounted for ~90% of the observed particle radius growth, from 0.1–0.2 µm to 0.35–0.45 µm. Despite increased aerosol extinction due to particle growth, a cooling of up to −4 K was observed in the mid-stratosphere, persisting for over a year since February, with over 60% attributed to WV radiative cooling. Conversely, in the lower stratosphere, ~50% of the observed 1–2 K warming was attributed to the radiative heating of large particles that formed in upper layers and settled down gravitationally.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.